




def      _SCREAMING_SNAKE_CASE     (				lowercase      :			int      ,				lowercase      :			list[int]      ,				lowercase      :			int	):


      '''simple docstring'''



      def count_of_possible_combinations(lowercase      :			int	) -> int:
            if target < 0:
                  return 0
            if target == 0:
                  return 1
            return sum(count_of_possible_combinations(target - item	) for item in array	)

      return count_of_possible_combinations(lowercase	)

def      _SCREAMING_SNAKE_CASE     (				lowercase      :			int      ,				lowercase      :			list[int]      ,				lowercase      :			int	):


      '''simple docstring'''



      def count_of_possible_combinations_with_dp_array(
          lowercase      :			int      ,				lowercase      :			list[int]	) -> int:
            if target < 0:
                  return 0
            if target == 0:
                  return 1
            if dp_array[target] != -1:
                  return dp_array[target]
            lowerCamelCase_							=       sum(
                count_of_possible_combinations_with_dp_array(target - item      ,				lowercase	)
                for item in array	)
            lowerCamelCase_							=       answer
            return answer

      lowerCamelCase_							=       [-1] * (target + 1)
      return count_of_possible_combinations_with_dp_array(lowercase      ,				lowercase	)

def      _SCREAMING_SNAKE_CASE     (				lowercase      :			int      ,				lowercase      :			list[int]      ,				lowercase      :			int	):


      '''simple docstring'''



      lowerCamelCase_							=       [0] * (target + 1)
      lowerCamelCase_							=       1

      for i in range(1      ,				target + 1	):
            for j in range(lowercase	):
                  if i - array[j] >= 0:
                        dp_array[i] += dp_array[i - array[j]]

      return dp_array[target]


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 lowerCamelCase							:						str					       =  3
 lowerCamelCase							:						str					       =  5
 lowerCamelCase							:						List[str]					       =  [1, 2, 5]
 print(combination_sum_iv(n, array, target))




'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCAmelCase					=logging.get_logger(__name__)

__UpperCAmelCase					={
    "facebook/levit-128S": "https://huggingface.co/facebook/levit-128S/resolve/main/config.json",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}




class        a__ (  UpperCAmelCase__					):
     lowerCamelCase    :	Optional[Any]				="levit"






     def __init__(					self						:						Optional[int]    ,							a						:						int=2_24    ,							a						:						Union[str, Any]=3    ,							a						:						List[Any]=3    ,							a						:						Dict=2    ,							a						:						Tuple=1    ,							a						:						Optional[int]=16    ,							a						:						Optional[Any]=[1_28, 2_56, 3_84]    ,							a						:						Dict=[4, 8, 12]    ,							a						:						Optional[Any]=[4, 4, 4]    ,							a						:						Optional[int]=[16, 16, 16]    ,							a						:						Any=0    ,							a						:						List[Any]=[2, 2, 2]    ,							a						:						Optional[Any]=[2, 2, 2]    ,							a						:						Union[str, Any]=0.02    ,							**a						:						Optional[int]    ,							):





         """simple docstring"""



         super().__init__(**a       )
         __lowerCamelCase            =    image_size
         __lowerCamelCase            =    num_channels
         __lowerCamelCase            =    kernel_size
         __lowerCamelCase            =    stride
         __lowerCamelCase            =    padding
         __lowerCamelCase            =    hidden_sizes
         __lowerCamelCase            =    num_attention_heads
         __lowerCamelCase            =    depths
         __lowerCamelCase            =    key_dim
         __lowerCamelCase            =    drop_path_rate
         __lowerCamelCase            =    patch_size
         __lowerCamelCase            =    attention_ratio
         __lowerCamelCase            =    mlp_ratio
         __lowerCamelCase            =    initializer_range
         __lowerCamelCase            =    [
             ['''Subsample''', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
             ['''Subsample''', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
         ]




class        a__ (  UpperCAmelCase__					):
     lowerCamelCase    :	Tuple				=version.parse("1.11"					)






     @property
     def   SCREAMING_SNAKE_CASE__  (					self						:						Optional[int]       ):





         """simple docstring"""



         return OrderedDict(
             [
                 ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
             ]       )






     @property
     def   SCREAMING_SNAKE_CASE__  (					self						:						Union[str, Any]       ):





         """simple docstring"""



         return 1e-4
